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Computer Vision Tool-Setting System of Numerical Control Machine Tool

An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool...

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Detalles Bibliográficos
Autores principales: Hou, Bo, Zhang, Congpeng, Yang, Shoubo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571089/
https://www.ncbi.nlm.nih.gov/pubmed/32947983
http://dx.doi.org/10.3390/s20185302
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author Hou, Bo
Zhang, Congpeng
Yang, Shoubo
author_facet Hou, Bo
Zhang, Congpeng
Yang, Shoubo
author_sort Hou, Bo
collection PubMed
description An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine was proposed on the basis of the theory of traditional vision system calibration. The coordinate mapping relationship of the image and the CNC machine, the tool-setting mark point on the workpiece, and the tool tip were calibrated. The vision system performance testing and system calibration experiments were performed. Experimental results indicated that the time consumption was 128 ms in image processing. The precision of tool setting and measuring was less than 1 μm. The workpiece positioning and processing online detection function of the system can completely meet the requirements of visual CNC machine application, and the system has wide application prospects.
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spelling pubmed-75710892020-10-28 Computer Vision Tool-Setting System of Numerical Control Machine Tool Hou, Bo Zhang, Congpeng Yang, Shoubo Sensors (Basel) Article An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine was proposed on the basis of the theory of traditional vision system calibration. The coordinate mapping relationship of the image and the CNC machine, the tool-setting mark point on the workpiece, and the tool tip were calibrated. The vision system performance testing and system calibration experiments were performed. Experimental results indicated that the time consumption was 128 ms in image processing. The precision of tool setting and measuring was less than 1 μm. The workpiece positioning and processing online detection function of the system can completely meet the requirements of visual CNC machine application, and the system has wide application prospects. MDPI 2020-09-16 /pmc/articles/PMC7571089/ /pubmed/32947983 http://dx.doi.org/10.3390/s20185302 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hou, Bo
Zhang, Congpeng
Yang, Shoubo
Computer Vision Tool-Setting System of Numerical Control Machine Tool
title Computer Vision Tool-Setting System of Numerical Control Machine Tool
title_full Computer Vision Tool-Setting System of Numerical Control Machine Tool
title_fullStr Computer Vision Tool-Setting System of Numerical Control Machine Tool
title_full_unstemmed Computer Vision Tool-Setting System of Numerical Control Machine Tool
title_short Computer Vision Tool-Setting System of Numerical Control Machine Tool
title_sort computer vision tool-setting system of numerical control machine tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571089/
https://www.ncbi.nlm.nih.gov/pubmed/32947983
http://dx.doi.org/10.3390/s20185302
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